AI Foundation (eLearning) EN

Become proficient in the world of Artificial Intelligence (AI) with this EXIN-accredited learning pathway, based on the internationally recognised BCS AI Foundation Syllabus.

This accredited AI programme provides a comprehensive foundation in the technologies and techniques that drive modern AI applications. You will gain a deep understanding of AI, Data Science, Analytics, Machine Learning, Deep Learning, and Generative AI, while learning how to develop, assess, and deploy solutions such as classification systems, chatbots, and Natural Language Processing using GPTs and Agents.

To ensure you can translate theory into practice, the learning path includes hands-on sessions in our AI Playground where you will build and test your own models. By the end of the programme, you will be equipped to either start developing AI solutions yourself or make strategic, informed decisions regarding AI implementation and use-case specification within your organisation.

Upon completion, you have the opportunity to obtain official certification by taking the EXIN BCS exam, for which a separate exam voucher is required. 

This learning path is suitable for a wide range of professionals who want an accessible and practical introduction to Artificial Intelligence (AI) and its application within organisations. You do not need an extensive technical background; the course is designed to make AI understandable and applicable for anyone dealing with AI in a professional capacity.

Typical participants include:

• 
  
• Business professionals and managers who need to assess AI applications or make strategic decisions regarding AI projects.
• 
  
• Consultants, analysts, and project leaders who support or advise on AI initiatives.
• 
  
• IT and data teams who want to build a foundational understanding of AI before diving deeper into technical implementations.
• 
  
• Innovation, product, and process managers who want to leverage AI to improve business processes or services.
• 
  
• Professionals in finance, marketing, HR, logistics, and other domains who want to understand AI and apply it responsibly.
• 
  

The learning path is therefore ideal for anyone who wants to become AI-literate and build a solid foundation for further development in AI, such as follow-up programmes or certifications.

This learning path helps you discover what AI can and cannot do, and establishes the foundations of data analysis, robotics, machine learning, deep learning, algorithms, and reliability assessment. You will explore a wide range of applications, including numerical models, classification systems, chatbots, speech and image recognition, natural language processing, and expert systems.

Learning Objectives:

• 
  
• Achieve the competence level as defined in the EXIN BCS AI Foundation Professional Certification.
• 
  
• Understand why data and AI are essential capabilities for the present and the future.
• 
  
• Apply EU guidelines for human-centric, ethical, and sustainable AI.
• 
  
• Gain insight into Data Science and AI and their impact on organisations and sectors.
• 
  
• Familiarise yourself with intelligent agents and various levels of robotics.
• 
  
• Learn what algorithms and machine learning are and how they are utilised.
• 
  
• Build an AI toolbox, including AutoML and common open-source software tools.
• 
  
• Understand how humans and machines collaborate now and in the future.
• 
  
• Become aware of risks and ethical dilemmas and learn to build Trustworthy AI.
• 
  
• Get hands-on with an application, ranging from practice data to your own datasets. 
• 
  

Additional Practical Modules: We have added extra elements to the BCS syllabus that are essential for the practical application of AI, such as:

• 
  
• The importance of data and big data.
• 
  
• The construction and management of AI models.
• 
  
• Practical applications and reliability evaluation. 
• 
  

The EXIN BCS exam does not cover these additional components, but they provide valuable depth for actually implementing AI in practice.

This programme is also available as a blended learning programme, where the e-learning is supplemented with a 2 day classroom session.

This learning path consists of:  

• 
  
• an eLearning consisting of a series of multi-media micro-learnings
• 
  
• access to our AI playground in which you build your first AI models and can practice prompting
• 
  
• quizzes to test your knowledge 
• 
  
• support via our AI 'learning buddy' to experience an Agent helping you 
• 
  
• examples of advanced agents including our EU AI Act Buddy  
• 
  

Upon completing this learning path, you can further specialise or deepen your expertise through follow-on programmes and related courses. These programmes build upon the foundational knowledge you have gained here and help you to better understand, develop, and manage AI applications.

Consider, for example, the Axveco learning paths:

• 
  
• Generative AI Essentials or Foundation
• 
  
• Vibe Coding and Agentic Redesign
• 
  
• AI and Data Driven Business Model
• 
  
• AI Ethics and the EU AI Act 
• 
  

Additionally, we can discuss which learning path best suits your role, organisation, or team, ensuring that the knowledge acquired is directly translated into practice. This results in a bespoke programme that aligns with your ambitions and the specific needs of your organisation.

This training is an e-learning with the indicate study time. It can also be followed as a blended programme, where you combine the e-learning with an additional one-day classroom session. 

• 
  
• Achieve the competence level required for the EXIN BCS AI Foundation certification.
• 
  
• Understand why data and AI are crucial for organisations.
• 
  
• Apply EU guidelines for ethical and sustainable AI.
• 
  
• Gain an introduction to Data Science and AI, and their transformative impact.
• 
  
• Discover intelligent agents and various levels of robotics.
• 
  
• Develop a foundational understanding of algorithms and machine learning.
• 
  
• Assemble your AI toolbox (AutoML, open-source tools).
• 
  
• Understand the collaboration between humans and machines, both now and in the future.
• 
  
• Gain insight into risks and dilemmas, and learn how to build reliable AI solutions.
• 
  
• Practical application: start working on your own AI application.
•